BRCA.100


Expression data of 100 genes (rows) in 533 conditions (columns).


datasets

Facilitates optimal clustering of a data set. Provides a framework to run a wide range of clustering algorithms to determine the optimal number (k) of clusters in the data. Then analyzes the cluster assignments from each clustering algorithm to identify samples that repeatedly classify to the same group. We call these 'core clusters', providing a basis for later class discovery.

Albert Chen

COMMUNAL

Robust Selection of Cluster Number K

BRCA.100 function

A data frame with 533 observations on 100 variables.

Format

Normalized microarray data from TCGA - https://tcga-data.nci.nih.gov/tcga/.

BRCA.100: Breast Cancer gene expression data.

Description

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Examples